Designing PSS and SVC Parameters simultaneously through the Improved Quantum Algorithm in the Multi-machine Power System

Subject Areas : Renewable energy

Amir  Kazemi Zahrani ¹ (MSc – Department of Electrical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Iran)
Moein  Parastegari ² (Dept. power market, Persian Danesh, Isfahan, Iran)

Received: 2017-05-24 Accepted : 2017-10-23 Published : 2017-11-06

Keywords: Stability, SVC, PSS, Quantum-Inspired Evolutionary Algorithm,

Abstract :

As to the importance of power system performance in terms of quality, and stability, through flexible AC transmission system (FACTS) devices in power networks and coordinating these devices through power system stabilizers (PSSs) has gained a great acceptance. Accordingly, the problem of coordinated design of PSS and static var compensator (SVC) parameters in multi-machine power systems is introduced and solved through the improved quantum method. In previous studies PSS is designed for damping small-signal oscillations of the power system. To damp large-signal oscillations, PSS should be designed in accordance with other devices like SVC. Therefore to reach overall stability of power system, the Quantum-inspired Evolutionary Algorithm is applied here to determine PSS parameters and SVC in a coordinated manner. This proposed method is applied in determining PSS parameters and SVC of Kundur’s four-machine power systems and the New England 39-bus system. Simulation results reveal the effective performance of this proposed method in comparison with Particle Swarm Optimization (PSO) and Bacteria Foraging Optimization (BFO) methods.

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